Choose the agent’s job before its platform

Our view at Devmojos is straightforward: agree on the business outcome, permitted actions, decision owner and exit options before choosing an AI agent platform. Start with a workflow that a business owner can explain and an engineering team can test. Use the platform demonstration to examine that job.

Consider a hypothetical customer-support workflow. An agent reads approved help content and relevant order information, then drafts a reply for a support colleague. A refund or a consequential account change requires an authorised person. The useful first outcome is a reviewable response. Giving the agent permission to change an account would expand the job and deserves a separate decision.

Name one business owner who can judge whether the workflow is useful and approve changes to its scope. Agree what counts as a consequential action, who may authorise it and when work should stop. Name a technical owner for the connections, maintenance and operating checks. Both roles need a clear way to pause the workflow.

Write down the permissions before evaluating connectors. Which information may the agent read? Which tools may it call? What may it change? Review those boundaries whenever the workflow grows. An integration that was convenient for a trial can become an unnecessary permission later. Treat that expansion as a business decision.

Assign responsibility for each connection. Someone needs to maintain it, control its credentials and handle an interface or access change. Ask how the team will inspect failures, revoke access and recover interrupted work. Include model usage, monitoring and exception handling in the operating discussion.

Test both allowed and refused actions. In the support example, check that the agent can draft from approved information, recognise a missing detail and request the right approval. Also test an attempted refund without approval, an unapproved source and a request outside the workflow's remit. Record what actually happens. An approval feature or a particular architecture does not guarantee that the whole workflow behaves as intended.

Examine the exit options at the start. Can your team export the instructions, evaluation cases, business rules and relevant records in usable forms? Which integrations depend on a particular provider? What would need rebuilding, and who controls the access needed to move? Portability means understanding those choices and their cost.

A practical next step is a one-page workflow brief: the job, its permitted actions, accountable owners, tests and exit requirements. That gives a platform shortlist a clear purpose.

At Devmojos, we help businesses define and implement AI agents and connected workflows around their work. Bring one useful task and the decisions that surround it. We can discuss an implementation scope and the evidence needed to accept it: https://www.devmojos.com/services/.